Fullstack Data Scientist (Lead) at Tint

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

E-commerce, TechnologyIndustries

Requirements

Exceptional analytical and technical ability with a track record of high-impact work in full-stack data science or analytics
Proven experience building and leading high-performing data science teams
Deep expertise in experimentation, statistical modelling, causal inference, and translating complex outputs into clear strategy
Strong engineering ability across the data stack, comfortable owning systems end-to-end
High bias for action and speed, with excellent product and business intuition
Experience in fast-paced, high-autonomy startup environments, ideally from seed to Series B
First-principles thinker with strong problem-solving instincts
(Nice to Have) Experience supporting marketing, growth, or commercial teams

Responsibilities

Map Tilt’s business model, data ecosystem, and analytical gaps (0-3 months)
Define and begin executing the data science roadmap aligned with company priorities (0-3 months)
Build high-impact analytics for Marketing, Creator, and Category teams that deliver immediate value (0-3 months)
Establish data quality standards, governance, and best practices across all functions (0-3 months)
Embed fast, scientific decision-making into the company by partnering with senior leadership (0-3 months)
Own and evolve Tilt’s entire data science, modelling, and analytics strategy (3+ months)
Lead frameworks for marketing efficiency, attribution, and smart budget allocation (3+ months)
Design, build, and maintain predictive models that support category expansion, retention, creator performance, and growth (3+ months)
Develop and operationalise causal inference, experimentation, and incrementality testing systems (3+ months)
Establish a company-wide culture of experimentation and rigorous measurement (3+ months)
Represent data science in leadership and board-level discussions

Skills

Data Science

Full Stack

Data Infrastructure

Data Pipelines

Machine Learning

Predictive Modeling

Causal Inference

Experimentation

A/B Testing

Analytics

Data Governance

SQL

Python

ETL

Attribution Modeling

Tint

Integrates insurance into digital platforms

About Tint

Tint integrates insurance solutions into SaaS platforms and online marketplaces, allowing businesses to offer insurance as part of their existing services. This approach enhances user experience by providing relevant coverage tied to the services customers already use. Tint stands out by offering white-labeled insurance products, enabling clients to brand the solutions as their own. The company's goal is to transform insurance delivery, driving revenue growth and customer loyalty for its clients.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$24.3MTotal Funding

SERIES_ACompany Stage

Consumer Software, Fintech, Financial ServicesIndustries

11-50Employees

Benefits

Flexible Work Hours

Unlimited Paid Time Off

Health Insurance

Vision Insurance

Dental Insurance

401(k) Retirement Plan

Health Savings Account/Flexible Spending Account

Company Equity

Home Office Stipend

Risks

Increased competition from platforms like Cover Genius and Zego threatens market share.

Potential regulatory scrutiny could impact Tint's operations and consumer trust.

Dependence on partnerships poses risks if partners face financial difficulties.

Differentiation

Tint integrates insurance directly into SaaS platforms, enhancing user experience.

The company offers white-labeled solutions, allowing clients to brand insurance products.

Tint's API-based technology streamlines the launch and management of P&C insurance programs.

Upsides

Tint's partnership with RVI Group enhances credibility and market opportunities.

The $25M Series A funding boosts Tint's expansion and technology enhancement efforts.

Growing demand for embedded insurance aligns with Tint's offerings, increasing market potential.

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